Team and Project Composition in Big Physics Experiments

Slobodan Perović

doi:10.2298//FID1904535P

Autori

Slobodan Perović Associate Professor, Department of Philosophy, Faculty of Philosophy, University of Belgrade

DOI:

https://doi.org/10.2298//FID1904535P

Ključne reči:

social epistemology, networks, science, physics, technology, innovation

Apstrakt

Identifying optimal ways of organizing exploration in particle physics mega-labs is a challenging task that requires a combination of case-based and formal epistemic approaches. Data-driven studies suggest that projects pursued by smaller master-teams (fewer members, fewer sub-teams) are substantially more efficient than larger ones across sciences, including experimental particle physics. Smaller teams also seem to make better project choices than larger, centralized teams. Yet the epistemic requirement of small, decentralized, and diverse teams contradicts the often emphasized and allegedly inescapable logic of discovery that forces physicists pursuing the fundamental levels of the physical world to perform centralized experiments in mega-labs at high energies. We explain, however, that this epistemic requirement could be met, since the nature of theoretical and physical constraints in high energy physics and the technological obstacles stemming from them turn out to be surprisingly open-ended.

Reference

Bonaccorsi, A., and C. Daraio (2005), “Exploring Size and Agglomeration Effects on Public Research Productivity”, Scientometrics 63(1): 87–120.
Carillo, M. R., E. Papagni, and A Sapio (2013), “Do Collaborations Enhance the High-Quality Output of Scientific Institutions? Evidence from the Italian Research Assessment Exercise”, The Journal of Socio-Economics 47: 25–36.
Campion, M. A., Medsker, G. J., and A. C. Higgs (1993), “Relations Between Work Group Characteristics and Effectiveness: Implications for Designing Effective Work Groups”, Personnel Psychology 46(4): 823–847.
Cetina, K. K. (1999), Epistemic Cultures: How the Sciences Make Knowledge. Cambridge, Mass and London, England: Harvard University Press.
Charnes, A., W. W. Cooper, and E. Rhodes (1978), “Measuring the Efficiency of Decision-Making Units”, European Journal of Operational Research 2(6): 429–444.
Chompalov, I., J. Genuth, and W. Shrum (2002), “The Organization of Scientific Collaborations”, Research Policy 31(5): 749–767.
Cooper, W. W., L. M. Seiford, and J. Zhu (2011), Handbook on Data Envelopment Analysis. New York: Springer.
Cook, I., S. Grange, and A. Eyre-Walker (2015), “Research Groups: How Big Should They Be?”, PeerJ 3, e989. doi:10.7717/peerj.989.
P. Geltenbort (2013), “Cool Things to Do with Neutrons”, Physics Today, June 2013.
Greenberg, D. S. (1999), The Politics of Pure Science. Chicago: University of Chicago Press.
Hallonsten, O., and T. Heinze. (2012), “Institutional Persistence through Gradual Organizational Adaptation: Analysis of National Laboratories in the USA and Germany”, Science and Public Policy 39: 450–463.
Herman, A., J. Krige, U. Mersits, and D. Pestre (1987), History of CERN, Vol. 1, Launching the European Organization for Nuclear Research. Amsterdam/New York: North-Holland Physics Pub.
Kragh, H. (2002), Quantum Generations: A History of Physics in the Twentieth Century. Princeton: Princeton University Press.
Maruyama, K., H. Shimizu, and M. Nirei (2015), “Management of Science, Serendipity, and Research Performance: Evidence from a Survey of Scientists in Japan and the U.S.”, Research Policy 44: 862–873.
Page, S. E. (2011), Diversity and Complexity, Princeton: Princeton University Press.
–. (2007), “Making the Difference: Applying a Logic of Diversity”, The Academy of Management Perspectives 21(4): 6–20.
Panofsky, W. K. (1994), Particles and Policy, New York: American Institute of Physics.
Perović, S., S. Radovanović, V. Sikimić, and A. Berber. (2016), “Optimal Research Team Composition: Data Envelopment Analysis of Fermilab Experiments”, Scientometrics 108(1): 83–111.
Rescher, N. (1999), The Limits of Science. Pittsburgh: University of Pittsburgh Press.
Torrisi, B. (2014), “A Multidimensional Approach to Academic Productivity”, Scientometrics 99(3): 755–783.
Van der Wal, R., Fischer A., Marquiss M., Redpath, S., and S. Wanless (2009), “Is Bigger Necessarily Better for Environmental Research?”, Scientometrics 78(2): 317–322.
Zollman, K. J. (2007), “The Communication Structure of Epistemic Communities”, Philosophy of Science, 74(5), 574–587.